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- Tasks: Design and build scalable data pipelines for real-time and batch processing.
- Company: Join a leading global technology consultancy known for learning and career growth.
- Benefits: Hybrid working, access to enterprise projects, and a strong benefits package.
- Other info: Opportunities for clear progression in a structured environment.
- Why this job: Work on cutting-edge data systems and make an impact across various sectors.
- Qualifications: 3+ years in data engineering with strong programming skills in Java or Python.
The predicted salary is between 50000 - 70000 £ per year.
Excellent opportunity to join a leading global technology consultancy with a reputation for learning and career progression. My client is hiring multiple Data Engineers across mid to senior levels and represents an opportunity to work on large-scale, enterprise data platforms delivering solutions across both public and private sector clients.
The role focuses on designing and building scalable data pipelines, supporting real-time and batch data processing, and enabling analytics and AI-driven decision-making. These roles are available across different experience levels, from engineers with a few years of experience to more senior specialists contributing to complex distributed systems.
What’s on Offer
- Hybrid working (3 days per week onsite in Newcastle)
- Access to enterprise-scale projects and modern cloud technologies
- Clear progression pathways within a large, structured environment
- Opportunity to work on real-time streaming and large-scale data systems
- Strong learning and development environment
- Benefits pack
What You Need
- Experience in data engineering or large-scale data solutions (minimum 3 years)
- Strong programming skills in Java (preferred) or Python
- Experience with data processing tools such as Kafka, Spark, or Flink
- Experience building ETL/ELT or streaming data pipelines
- Understanding of distributed systems and cloud platforms (AWS, Azure or GCP)
- Familiarity with CI/CD, Infrastructure as Code (e.g. Terraform), and containerisation (Docker/Kubernetes)
- Knowledge of data modelling, governance, and data quality principles
- Ability to work in agile teams and collaborate with technical and non-technical stakeholders
Additional Requirement
- Must have 5+ years continuous UK address history due to security clearance requirements.
Data Engineer - Multiple roles - Newcastle employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Multiple roles - Newcastle
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in data engineering. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud technologies. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with tools like Kafka, Spark, and your programming skills in Java or Python. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer - Multiple roles - Newcastle
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data engineering experience, especially with tools like Kafka or Spark, to show us you’re a great fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how your background aligns with our projects. Be specific about your achievements and how they relate to the role you’re applying for.
Showcase Your Projects: If you’ve worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing real examples of your work, especially if they involve building scalable data pipelines or using cloud technologies.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for all the exciting opportunities we have available!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Tech Stack
Make sure you brush up on the specific technologies mentioned in the job description, like Java, Kafka, and Spark. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Company’s Projects
Research the types of enterprise-scale projects the consultancy is involved in. Being able to discuss their work and how you can contribute will show your genuine interest and help you stand out.
✨Prepare for Behavioural Questions
Expect questions about teamwork and collaboration, especially since you'll be working with both technical and non-technical stakeholders. Think of examples that demonstrate your ability to communicate effectively and work in agile teams.